feat: Add version validation if model fails to load

[HCookie]

Description

Add environment context information if the model fails to load.

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update

Code Compatibility

• I have performed a self-review of my code

Code Performance and Testing

• I have added tests that prove my fix is effective or that my feature works
• I ran the complete Pytest test suite locally, and they pass

Dependencies

• I have ensured that the code is still pip-installable after the changes and runs
• I have tested that new dependencies themselves are pip-installable.

Documentation

• My code follows the style guidelines of this project
• I have updated the documentation and docstrings to reflect the changes
• I have added comments to my code, particularly in hard-to-understand areas

Additional Notes

[aaron-hopkinson]

Some minor comments - may be out of the scope of this PR, but I feel like we might want to clean this code at some point.

Also if we're adding a new feature, we should probably add a test - just something simple like mock/patching the call to torch.load, forcing it to raise an exception, and ensuring that the validate_environment is called, is probably sufficient to check that the high-level behaviour is doing what we expect (rather than the details of what's returned etc).

[gmertes]

LGTM. I share Aaron's concerns but we also want this function to be flexible. We could look at improving the documentation a bit, but it's good enough imo.